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A study on human interface system using the direction of eyes and face

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Abstract

Establishing an efficient alternative channel for communication without overt speech and hand movements is important for increasing the quality of life for patients lacking correct limb and facial muscular responses. This paper presents the eye movement tracking system using cross-channel electrooculogram signals. In addition, we used Kinect sensor (RGB-D sensor) for face tracking. Thus, gaze estimation system can be established by both eye movement and face tracking. Simulation experiments were designed in order to confirm the effectiveness of the proposed system. As a result of simulation experiments, gaze position estimation is recognized under high accuracy in our system.

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References

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Author information

Authors and Affiliations

  1. Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki-shi, Miyazaki, 889-2192, Japan

    Keiko Sakurai & Mingmin Yan

  2. Graduate Course in Electrical and Electronic Engineering, University of Miyazaki, Miyazaki, Japan

    Kazuhiko Inami

  3. Department of Environmental Robotics, University of Miyazaki, Miyazaki, Japan

    Hiroki Tamura

  4. Department of Electrical and Systems Engineering, University of Miyazaki, Miyazaki, Japan

    Koichi Tanno

Authors
  1. Keiko Sakurai
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  2. Mingmin Yan
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  3. Kazuhiko Inami
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  4. Hiroki Tamura
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  5. Koichi Tanno
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Corresponding author

Correspondence to Keiko Sakurai.

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Cite this article

Sakurai, K., Yan, M., Inami, K. et al. A study on human interface system using the direction of eyes and face. Artif Life Robotics 20, 291–298 (2015). https://doi.org/10.1007/s10015-015-0228-7

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  • DOI: https://doi.org/10.1007/s10015-015-0228-7

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